| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * License); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License a |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the License. |
| */ |
| #include "common/tablet.h" |
| |
| #include <gtest/gtest.h> |
| |
| #include "common/schema.h" |
| |
| namespace storage { |
| |
| TEST(TabletTest, BasicFunctionality) { |
| std::string device_name = "test_device"; |
| std::vector<MeasurementSchema> schema_vec; |
| |
| schema_vec.push_back(MeasurementSchema( |
| "measurement1", common::TSDataType::BOOLEAN, common::TSEncoding::RLE, |
| common::CompressionType::SNAPPY)); |
| schema_vec.push_back(MeasurementSchema( |
| "measurement2", common::TSDataType::BOOLEAN, common::TSEncoding::RLE, |
| common::CompressionType::SNAPPY)); |
| Tablet tablet(device_name, |
| std::make_shared<std::vector<MeasurementSchema>>(schema_vec)); |
| |
| EXPECT_EQ(tablet.get_column_count(), schema_vec.size()); |
| |
| EXPECT_EQ(tablet.add_value(0, "measurement1", true), common::E_OK); |
| EXPECT_EQ(tablet.add_value(0, "measurement2", false), common::E_OK); |
| |
| EXPECT_EQ(tablet.add_value(1, 0, false), common::E_OK); |
| EXPECT_EQ(tablet.add_value(1, 1, true), common::E_OK); |
| } |
| |
| TEST(TabletTest, LargeQuantities) { |
| std::string device_name = "test_device"; |
| std::vector<MeasurementSchema> schema_vec; |
| |
| for (int i = 0; i < 10000; i++) { |
| schema_vec.push_back(MeasurementSchema( |
| "measurement" + std::to_string(i), common::TSDataType::BOOLEAN, |
| common::TSEncoding::RLE, common::CompressionType::SNAPPY)); |
| } |
| Tablet tablet(device_name, |
| std::make_shared<std::vector<MeasurementSchema>>(schema_vec)); |
| |
| EXPECT_EQ(tablet.get_column_count(), schema_vec.size()); |
| } |
| |
| TEST(TabletTest, TabletBatchReadWrite) { |
| std::vector<std::string> column_names = { |
| "id1", "id2", "id3", "id4","id5","id6" |
| }; |
| std::vector<common::TSDataType> datatypes = { |
| common::TSDataType::BOOLEAN, common::TSDataType::INT32, |
| common::TSDataType::INT64, common::TSDataType::FLOAT, |
| common::TSDataType::DOUBLE, common::TSDataType::STRING |
| }; |
| Tablet tablet(column_names, datatypes, 100); |
| bool bool_vec[100] = {false}; |
| bool_vec[10] = true; |
| |
| common::TSDataType datatype; |
| char* mask = new char[(100 + 7)/8]; |
| for (int i = 0; i < (100 + 7)/8; i++) { |
| mask[i] = 0xff; |
| } |
| tablet.set_batch_data(0, bool_vec, mask); |
| ASSERT_TRUE(*(bool*)(tablet.get_value(10, 0, datatype))); |
| ASSERT_EQ(common::TSDataType::BOOLEAN, datatype); |
| int32_t i32_vec[100] = {false}; |
| i32_vec[99] = 123; |
| for (int i = 0; i < (100 + 7)/8; i++) { |
| mask[i] = 0xff; |
| } |
| tablet.set_batch_data(1, i32_vec, mask); |
| ASSERT_EQ(0, *(int32_t *)(tablet.get_value(10, 1, datatype))); |
| ASSERT_EQ(123, *(int32_t *)(tablet.get_value(99, 1, datatype))); |
| char** str = (char**) malloc(100 * sizeof(char*)); |
| for (int i = 0; i < 100; i++) { |
| str[i] = strdup(std::string("val" + std::to_string(i)).c_str()); |
| } |
| tablet.set_batch_data_char(5, str); |
| ASSERT_EQ(common::String("val10"), *(common::String*)tablet.get_value(10, 5, datatype)); |
| |
| tablet.set_null_value(5, 20); |
| ASSERT_EQ(nullptr, tablet.get_value(20, 5, datatype)); |
| for (int i = 0; i < 100; i++) { |
| free(str[i]); |
| } |
| free(str); |
| delete [] mask; |
| } |
| |
| } // namespace storage |